Mark Grey
Senior Staff Software Engineer at Spotify
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolMark Grey is a Senior Staff Software Engineer in New York with 13 years building large-scale, data-intensive systems and a decade-plus commitment to continuous learning. He specializes in petabyte-scale data processing, instrumentation for experimentation, and content recommendation platforms, with deep hands-on experience in Scala, Java/JVM, and Python. At Spotify he progressed from engineer to senior staff while driving backend infrastructure and analytics capabilities that power personalization at scale. An active open-source contributor, he improved BigQuery integration in the widely used Luigi workflow tool and extended Scala AWS tooling to better handle complex DynamoDB types—work that reflects a practical focus on reliability and interoperability. Colleagues know him as a technical leader who pairs rigorous engineering with iterative problem-solving and a growth mindset.
13 years of coding experience
13 years of employment as a software developer
North Haven High School
Stackoverflow
10,127reputation
1.5mreached
155answers
73questions
php
top-5%
Github Skills (19)
bigquery10
python10
luigi10
scala10
amazon-dynamodb10
aws-sdk10
dynamodb10
orchestration-framework10
testing9
php9
java7
javas7
mongodb6
undefined6
redirect6
Programming languages (8)
Github contributions (5)
seratch/AWScala
May 2015 - Mar 2016
Using AWS SDK on the Scala REPL
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 3 PRs, 6 comments in 10 months
Contributions summary:Mark focused on enhancing the awscala library for interacting with AWS DynamoDB. Their contributions included adding support for nested maps and lists within the DynamoDB attribute value structures. They also implemented boolean data type support. These changes improve the library's compatibility with complex data structures and increase the functionality.
aws-sdkscala
spotify/luigi
Aug 2015 - Nov 2015
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Role in this project:Back-end Developer
Back-end DeveloperContributions:11 commits, 13 PRs, 5 pushes in 3 months
Contributions summary:Mark primarily contributed to the BigQuery integration within the Luigi framework. Their work included implementing atomic BigQuery uploads, adding a method to get the table's URI, and writing tests. They also reverted and re-implemented the atomic BigQuery uploads feature, indicating iterative development and debugging within this specific area of the project. These changes suggest a focus on improving the functionality and reliability of the BigQuery integration.
dependency-resolutionhadooppython-modulesvisualizationpython
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